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PMID: 30043394 Published · ppublish English Journal Article

Computational Modeling of Oxygen Transfer in Artificial Lungs.

Artificial organs ·Vol. 42 ·No. 8 ·2018-08-00 ·页码 786-799

Kaesler A, Rosen M, Schmitz-Rode T, Steinseifer U, Arens J

Abstract

Under physiological conditions, up to 97% of the oxygen in blood that is transported from lungs to tissue is bound to hemoglobin. To predict oxygen transfer in artificial lungs on a membrane fiber level with computational fluid dynamics (CFD), previous investigators have incorporated the hemoglobin-oxygen interaction into an effective diffusivity coefficient to modify the convection-diffusion equation. Based on our own simulations and experiments, these approaches tend to significantly overestimate the oxygen transfer. The present study introduces a novel approach to model the oxygen transfer in blood on a fiber level with CFD. Plasma and red blood cells were implemented as two phases and the reaction of hemoglobin and oxygen to oxyhemoglobin was included in the convection-diffusion equation in form of a source term. The model was implemented with the commercial software Ansys CFX 18.1. CFD simulations were compared with in vitro experiments on three micro oxygenators with a staggered fiber configuration under multiple blood flow conditions. To calibrate the model, a reaction rate R0 was introduced and experimental data was fitted to a blood flow of 50 mL/h. Our model approximated the oxygen transfer rates with a difference, relative to in vitro results, of -23.7 and +6.3% for blood flows of 20 and 90 mL/h, respectively. The effective diffusivity model, used by previous authors, was implemented for comparison and approximated oxygen transfer rates with a difference, relative to in vitro data, of +13.7, +68.8, and +121.0% for blood flows of 20, 50, and 90 mL/h, respectively. A well-established numerical mass transfer correlation approximated the gas transfer with a difference, referenced on the average in vitro data, of 31.8, 13.1, and 5.0% for blood flows of 20, 50, and 90 mL/h, respectively. Even though results are promising, a thorough validation of the model will require extensive CFD and in vitro studies of multiple fiber arrangements, fiber diameters, and therefore fiber bundle porosities in the future. This article should be understood as a first feasibility study to evaluate the potential of the novel oxygen transfer model.

Keywords
Artificial lung Blood modeling Computational fluid dynamics Hemoglobin-oxygen interaction Micro-scale Oxygen transfer modeling Oxygenator
MeSH 主题词
Artificial Organs Blood Flow Velocity Carbon Dioxide/blood Computer Simulation Diffusion Equipment Design Erythrocytes/metabolism Extracorporeal Membrane Oxygenation/instrumentation Humans Hydrodynamics Lung/blood supply Models, Cardiovascular Oxygen/blood Oxygenators, Membrane Oxyhemoglobins/metabolism Pulmonary Circulation
化学物质
Oxyhemoglobins Carbon Dioxide Oxygen
作者与单位
共 5 位作者,点击展开单位 / ORCID
Kaesler Andreas ORCID
Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany.
Rosen Marius
Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany.
Schmitz-Rode Thomas ORCID
Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany.
Steinseifer Ulrich
Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany. | Monash Institute of Medical Engineering and Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia.
Arens Jutta ORCID
Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany.
Article Info
Journal
Artificial organs
Abbr.
Artif Organs
ISSN
1525-1594
Published
2018-08-00
电子出版
2018-00-24
页码
786-799
Language
English
Country/Region
United States
NLM ID
7802778
基金资助
Deutsche Forschungsgemeinschaft · 261129001
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